A checklist for mobile-first indexing: parity of content, headings, structured data, metadata, images and links, common mobile problems, and how to test what Google's smartphone crawler sees.
Gunakesh Parmar ·
How local AI answers use business listings, and a checklist for Google Business Profile, location pages, reviews and the other platforms that feed Copilot, Siri and Indian directories.
Rohit Bhisey ·
How to earn links and mentions in 2026 that help both Google rankings and AI visibility: what Google's link spam policy covers, approaches that work, a monthly routine and what to avoid.
Gunakesh Parmar ·
Which AI crawlers an Indian business should allow or block, by type of business, with robots.txt examples and the legal context in India.
Gunakesh Parmar ·
How retrieval systems split pages into chunks, what makes a chunk usable on its own, and how to structure sections, headings and tables for it.
How to move a site from WordPress to Next.js without losing search traffic: inventory, keeping URLs, redirects, metadata and schema, content and media, replacing built-in features, and testing.
Ashruba Pankhade ·
Two of the four acronyms name distinct work, one is a Google feature and one is a synonym. The measurement terms are the real problem, because brand citation rate and share of model have no agreed definition. Which three numbers to keep, and why the rest is reading material.
Rohit Bhisey ·
When template-generated pages help searchers and when they become scaled content abuse, the conditions for doing programmatic SEO well, and a small-batch process to test it.
Gunakesh Parmar ·
How to write case studies that buyers believe and AI assistants can cite: a clear structure, honest results with numbers and periods, what did not work, permissions and publishing them properly.
Rohit Bhisey ·
The trade-offs between an in-house SEO and GEO team and an agency, the questions that decide it, common hybrid models, and signs the current setup is not working.
Rohit Bhisey ·
Ten low-cost steps that give a startup search and AI visibility: a crawlable site, clear offer pages, visible founders, free tools, answer pages, one original asset, listings, reviews and a monthly check.
Rohit Bhisey ·
How hacks damage search visibility, a prevention checklist for access, software, configuration and backups, and the steps to recover and request a review in Search Console.
Ashruba Pankhade ·
A page-by-page method for refreshing existing content: building an inventory, deciding to update, merge, redirect, remove or leave, what a real update includes, and how to measure it.
Gunakesh Parmar ·
How to replace keyword-only site search with hybrid semantic search in PostgreSQL, combine rankings with reciprocal rank fusion, and use visitors' searches to find content gaps.
Ashruba Pankhade ·
How Indian law firms and advocates can build search and AI visibility within the Bar Council of India's rules: factual profiles, practice areas, legal explainers and a crawlable disclaimer.
Gunakesh Parmar ·
What Indian banks, NBFCs, fintechs and advisers need to rank and be cited: dated rates and fees, RBI, SEBI and IRDAI disclosures, expert content, calculators and consistent listings.
Gunakesh Parmar ·
Structure makes a page readable for AI assistants. It does not make the page worth quoting. How to find the original material only your company has, make it extractable, reinforce it across other surfaces, and measure whether assistants start naming you.
Rohit Bhisey ·
Why WordPress sites fail Core Web Vitals and how to fix them without stacking plugins: field data, server caching, fewer scripts, the LCP image, layout stability and JavaScript control.
Ashruba Pankhade ·
How Indian companies can become visible to buyers in the US, UK and Middle East: when to create market versions, URL structures, localised content, hreflang, local proof and measurement.
Gunakesh Parmar ·
A before, during and after checklist for redesigns, platform changes and domain moves that keeps search traffic: redirect mapping, content carry-over, staging traps and monitoring.
Gunakesh Parmar ·
How to set up language URLs and hreflang in the Next.js App Router with the Metadata API or sitemap, avoid auto-redirects, and fix the most common hreflang mistakes.
Ashruba Pankhade ·
What Indian institutes and edtech companies need on course pages, portals and local listings to be found and recommended, and how to publish outcome claims that are accurate and compliant.
Rohit Bhisey ·
How to set up a headless WordPress and Next.js site for search and AI crawlers: server rendering, SEO fields, revalidation, public sitemaps, redirects and keeping the backend out of search.
Ashruba Pankhade ·
How to find and fix slow Interaction to Next Paint on React and Next.js sites: measuring with attribution, shipping less JavaScript, transitions, splitting long tasks and taming third-party scripts.
Ashruba Pankhade ·
A one-page monthly report for SEO and AI search: outcomes first, visibility trends against competitors, a short health check and three to five next actions.
Rohit Bhisey ·
A step-by-step Search Console method to find queries where clicks fell while rankings held, confirm AI Overviews, and decide what to do about each one.
Rohit Bhisey ·
A step-by-step method to measure how often ChatGPT, Perplexity and Gemini mention your brand, using a spreadsheet and Google Analytics instead of paid tools.
Rohit Bhisey ·
Seven reasons ChatGPT leaves a company out of its answers, a test for each, and a free template for tracking AI mentions over time.
Rohit Bhisey ·
What really changes when you move from SEO to generative engine optimisation, what stays the same, and where to start, based on documentation from Google and OpenAI and published studies.
Gunakesh Parmar ·
We built the same page three ways and requested each as OpenAI's crawler would. Two versions sent almost no content. Here is the test, the results and how to fix it.
Ashruba Pankhade ·
How brand mentions and co-occurrence shape what AI assistants associate with your company, what is documented, and where useful mentions come from.
The trust signals a business website should show, the ones that reduce trust, and how to offer risk reversal without false guarantees.
Why your business name, address and phone must match everywhere online, where to check in India, and how to fix inconsistencies.
How sparse retrieval (BM25), dense retrieval (DPR), hybrid search and cross-encoder re-ranking decide which passages reach an AI answer.
How visible dates, dateModified and sitemap lastmod work as freshness signals, what Google says about them, and when to update a page's date.
What E-E-A-T means in Google's rater guidelines, why it matters to AI assistants, and a practical checklist for business websites.
What information gain is, why AI assistants cite pages that add something new, and how to find the information only your business can publish.
How to build one connected JSON-LD graph with @id and sameAs, what schema can and cannot do for rich results, and how to check it.
The training, search and user-fetch crawlers run by OpenAI, Anthropic, Perplexity, Google and others, and how to set robots.txt rules for each.
The 2023 Stanford study on why language models use information at the start and end of their input best, and how to write pages for it.
Information gain, E-E-A-T, first-party evidence, source attribution, trust signals and writing passages that can be quoted accurately.
Answer-first structure, chunking, tables, JSON-LD, entity resolution, llms.txt, AI crawler rules, freshness dates and IndexNow.
Brilad is a search and web development consultancy in Pune and Mumbai founded by Gunakesh Parmar, Rohit Bhisey and Ashruba Pankhade.
Answer Engine Optimization: answer-first content, question schema and formatting that wins featured snippets and voice answers.
Technical and enterprise SEO: crawl health, Core Web Vitals, site architecture and intent-based keyword mapping.
SEO, AEO and GEO services, AI Search Audits and AI-ready development on WordPress, Next.js and Laravel.
How Brilad plans SEO, answer engine optimisation and generative engine optimisation as one four-phase process, what each phase covers, and what it cannot promise.
Gunakesh Parmar ·